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Name: Sudeshna Pal
Type: User
Bio: Graduate Student, Stony Brook University
Location: Stony Brook
Name: Sudeshna Pal
Type: User
Bio: Graduate Student, Stony Brook University
Location: Stony Brook
Mini project 1 of CSE 564 - Visualization class taken by Professor Klaus Muller. D3 visual-analytics to draw bar-chart, pi-chart and force-chart on baseball data.
This repository contains all the assignments done as part of CSE527 - Computer Vision class done under Professor Roy Shilkrot.
CSC321 - Neural Networks - UofT Winter 2016
Mini project 2 of CSE 564 - Visualization class taken by Professor Klaus Muller. Implemented data clustering using random & stratified sampling, data decimation using MDS and PCA andinteractive data visualization using scatter plot matrix.
Tutorials of new frameworks for handy reference.
Hands on experiments writing Java Native Interfaces.
My LeetCode practice Dec 2016-Jan2017
The main problem statement is boosting recommendations in the long tail of the Amazon product dataset.
Contains ML Algorithms implemented as part of CSE 512 - Machine Learning class taken by Fransico Orabona. Implemented Linear Regression using polynomial basis functions, Perceptron, Ridge Regression, SVM Primal, Kernel Ridge Regression, Kernel SVM, Kmeans.
Assignments and Project of Probability and Statistics Course taken in Semester2, Stony Brook University.
Sudeshna Pal's latest resume.
Implementations of Binary Space Parititoning and Sort Tile Recursive Partitioning algorithm.
SparkGIS3D - It performs spatial queries on 3D objects in Spark environment. The 3D objects are in OFF format. This is my advanced project in Masters.
Find new insights with Times Higher Education data across the years. Made an interactive dashboard with D3 to get these insights.
Designed and Implemented a Web Application Firewall as an Apache module that "sits" in-front of a web server. The WAF is designed to stop malicious requests from known attacks such as SQL Injection, XSS attacks and from unknown attacks by learning the legitimate traffic.
Model to improve Zillow Zestimate for Kaggle competition.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.